\documentclass[10pt,oneside]{book}

\input{macros}

\title{6.390 Lecture Notes}
\date{}

%\includeonly{logistic_regression,gradient_descent}

\begin{document}
% \maketitle
% \tableofcontents

% Fall 2021: new order: (1) regression; (2) features; (3) linear classifiers, logistic regression, classifiers; (4) gradient descent and stochastic gradient descent

\include{matrix_derivative}

% \include{intro}
% \include{regression}
% \include{feature_representation}
% \include{classification}
% \include{linear_classifiers}
% % \include{perceptron}
% % \include{margin_maximization}
% \include{logistic_regression}
% \include{gradient_descent}
% \include{neural_networks}
% \include{neural_networks_2}
% \include{convolutional_neural_networks}
% \include{state_machines}
% \include{reinforcement_learning}
% \include{rnn}
% %\include{recommender_systems}
% \include{non_parametric}
% \include{clustering}
% \include{appendices}

\end{document}


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